Analysis of Cybercrimes with Machine Learning Techniques
摘要
In an era of rapid technological advancement, cyberspace offers unparalleled convenience and connectivity but also leads to a surge in cybercrime. This paper provides a concise overview of various cybercrimes, including hacking, identity theft, phishing, and malware distribution. It explores the multifaceted implications of these crimes, from financial losses to breaches of privacy and national security. Recognizing the severity of these threats, the paper examines evolving cybersecurity measures such as encryption, network monitoring, authentication protocols, and incident response mechanisms. Additionally, it emphasizes the importance of collaboration between the government and private sector entities, and cybersecurity professionals in effectively combating cyber threats. This study aims to deepen understanding of cybercrime dynamics and the strategies necessary to strengthen cybersecurity defenses in the digital age.